Elizabeth Rowsell, PhD OBE
Director of Johnson Matthey Technology Centers
Pilar Gómez Jiménez, PhD
Stephen Poulston, PhD
Research Manager, Corporate R&D
Data analytics is increasingly playing an imperative role in the move toward digitalisation in chemistry. Statistical approaches dramatically reduce research timelines and enable chemists to achieve higher quality outcomes with fewer resources. Despite overwhelming consensus around the promise of digitalisation, however, organisations that most stand to benefit from these approaches have often struggled with how to get started.
On one hand, bench scientists who see the value in making experiments leaner, faster and more reproducible have faced pushback from leaders struggling to translate buzzwords like ‘AI’ and ‘robotics’ into action. On the other, leadership heavily invested in the digital future of scientific discovery must contend with the real needs of scientists for training in modern statistical methods and access to the tools needed to put those methods into practice.
In this video, leaders from Johnson Matthey offer rare insight into how chemists and scientific management can more effectively work together to build consensus and lay the foundations for digital chemistry’s implementation.